1,258 research outputs found

    Syntactic Variation and Auxiliary Contraction: The Surprising Case of Scots

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    This article is concerned with the distribution of contracted auxiliaries in English, in particular the re- striction against their occurrence in the immediate context of a gap created by movement or ellipsis. We document apparent exceptions to this restriction in varieties of Scots, all occurring in what we call the LOCATIVE DISCOVERY EXPRESSION. We analyse these as mirative constructions, and using new data from the Scots Syntax Atlas we describe patterns of variation in the acceptance of auxiliary contractions in locative discovery expressions which provide clues as to the role of syntax in conditioning auxiliary contraction. Adapting the proposal in Wilder (1997), where contracted auxiliaries are prosodically incorporated into the following predicate, we provide an account in which the differences across dialects with respect to contraction are explained in terms of the availability of different abstract structures

    Cross-linguistic evidence for cognitive universals in the noun phrase

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    Noun phrase word order varies cross-linguistically, however, two distributional asymmetries have attracted substantial attention (i.a., Greenberg 1963, Cinque 2005). First, the most common orders place adjectives closest to the noun, then numerals, then demonstratives (e.g., N-Adj- Num-Dem). Second, exceptions to this are restricted to post-nominal position (e.g., N-Dem- Num-Adj, but not Adj-Num-Dem-N). These observations have been argued to reflect constraints on cognition. Here we report two experiments, following work by Culbertson & Adger (2014), providing additional support for this claim. We taught English- and Thai-speaking participants artificial languages in which the position of modifiers relative to the noun differed from their native order (post-nominal position in English, pre-nominal in Thai). We trained participants on single-modifier phrases, and asked them to extrapolate to multiple modifier phrases. We found that both populations infer relative orders of modifiers that conform to the tendency for closest proximity of adjectives, then numerals, then demonstratives. Further, we show that Thai participants, learning pre-nominal modifiers, exhibit a stronger such preference. These results track the typology closely and are consistent with the claim that noun phrase word order reflects properties of human cognition. We discuss future research needed to rule out alternative explanations for our findings, including prior language experience

    Experimental evidence for the influence of structure and meaning on linear order in the noun phrase

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    Recent work has used artificial language experiments to argue that hierarchical representations drive learners’ expectations about word order in complex noun phrases like these two green cars (Culbertson & Adger 2014; Martin, Ratitamkul, et al. 2019). When trained on a novel language in which individual modifiers come after the Noun, English speakers overwhelmingly assume that multiple nominal modifiers should be ordered such that Adjectives come closest to the Noun, then Numerals, then Demonstratives (i.e., N-Adj-Num-Dem or some subset thereof). This order transparently reflects a constituent structure in which Adjectives combine with Nouns to the exclusion of Numerals and Demonstratives, and Numerals combine with Noun+Adjective units to the exclusion of Demonstratives. This structure has also been claimed to derive frequency asymmetries in complex noun phrase order across languages (e.g., Cinque 2005). However, we show that features of the methodology used in these experiments potentially encourage participants to use a particular metalinguistic strategy that could yield this outcome without implicating constituency structure. Here, we use a more naturalistic artificial language learning task to investigate whether the preference for hierarchy-respecting orders is still found when participants do not use this strategy. We find that the preference still holds, and, moreover, as Culbertson & Adger (2014) speculate, that its strength reflects structural distance between modifiers. It is strongest when ordering Adjectives relative to Demonstratives, and weaker when ordering Numerals relative to Adjectives or Demonstratives relative to Numerals. Our results provide the strongest evidence yet for the psychological influence of hierarchical structure on word order preferences during learning

    Adaptation to flooding in low‐income urban settlements in the least developed countries: A systems approach

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    This study aims to use a whole systems approach (1) to understand the processes of adaptation to flooding of the urban poor; (2) to identify new knowledge of how low‐income settlements might better adapt to climatic risks; and (3) to begin to develop appropriate guidance on this. Low‐income urban settlements in the least developed countries (LDCs) present an extreme case where catastrophic natural hazards and chronic social hazards overlap. These low‐income urban populations face the greatest adaptation challenges as they often occupy informal settlements that are particularly exposed to hazards, and have multiple vulnerabilities arising from their lack of basic services. There is a dynamic complexity of issues arising from the many levels of actor involved and multiple social and physical factors. Analysing such a complex phenomenon calls for a specific conceptual framing, and a systems theory approach is suggested to provide a holistic perspective. The case study for this research is located in Dhaka East, where there is both high vulnerability to flooding, and a significant low‐income population. The research has adopted a mixed methods approach involving different data collection methods governed by the different scales and actors being investigated. The research develops new systems understandings of perceptions and experiences of the local population about adaptation processes in low‐income urban settlements, and how these processes may be positively influenced by integrating bottom‐up and top‐down approaches

    Spatial and temporal dynamics of multidimensional well-being, livelihoods and ecosystem services in coastal Bangladesh.

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    Published onlineJournal ArticlePopulations in resource dependent economies gain well-being from the natural environment, in highly spatially and temporally variable patterns. To collect information on this, we designed and implemented a 1586-household quantitative survey in the southwest coastal zone of Bangladesh. Data were collected on material, subjective and health dimensions of well-being in the context of natural resource use, particularly agriculture, aquaculture, mangroves and fisheries. The questionnaire included questions on factors that mediate poverty outcomes: mobility and remittances; loans and micro-credit; environmental perceptions; shocks; and women's empowerment. The data are stratified by social-ecological system to take into account spatial dynamics and the survey was repeated with the same respondents three times within a year to incorporate seasonal dynamics. The dataset includes blood pressure measurements and height and weight of men, women and children. In addition, the household listing includes basic data on livelihoods and income for approximately 10,000 households. The dataset facilitates interdisciplinary research on spatial and temporal dynamics of well-being in the context of natural resource dependence in low income countries.The authors gratefully acknowledge the residents of Khulna and Barisal who gave up many hours of their time to be interviewed on multiple occasions. We are indebted to their generosity and patience. In addition we would like to acknowledge the important contribution of Tauhida Nasrin and colleagues at Associates for Community and Population Research and the team of enumerators who ensured the smooth implementation of the survey; Masfiqus Salehin and Rezaur Rahman at Bangladesh University of Engineering and Technology, Munir Ahmed at Technological Assistance for Rural Advancement and Hamidul Huq at University of Liberal Arts Bangladesh for their assistance in defining the social-ecological systems; Mahin Al Nahian for his assistance in implementing the survey; Rakin Muhtadee Shihab for completing the final translation of the questionnaire to Bengali; Munir Ahmed, Abir Ahammad Talukdar and Ali Mohammad Rezaie for assistance with qualitative fieldwork and pretesting; Abul Kashem Mohammad Hasan at the Center for Environmental and Geographic Information Services and Muhammad Zahirul Haq at icddr,b for the GIS work. The survey was part of the project Assessing Health, Livelihoods, Ecosystem Services And Poverty Alleviation In Populous Deltas (Espa Deltas; Grant No. NE/J000892/1), part of the Ecosystem Services for Poverty Alleviation (ESPA) programme. The ESPA programme is funded by the Department for International Development, the Economic and Social Research Council and the Natural Environment Research Council. Helen Adams had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis

    Transformational capacity and the influence of place and identity

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    Climate change is altering the productivity of natural resources with far-reaching implications for those who depend on them. Resource-dependent industries and communities need the capacity to adapt to a range of climate risks if they are to remain viable. In some instances, the scale and nature of the likely impacts means that transformations of function or structure will be required. Transformations represent a switch to a distinct new system where a different suite of factors become important in the design and implementation of response strategies. There is a critical gap in knowledge on understanding transformational capacity and its influences. On the basis of current knowledge on adaptive capacity we propose four foundations for measuring transformational capacity: (1)how risks and uncertainty are managed, (2)the extent of skills in planning, learning and reorganizing, (3)the level of financial and psychological flexibility to undertake change and (4)the willingness to undertake change. We test the influence of place attachment and occupational identity on transformational capacity using the Australian peanut industry, which is presently assessing significant structural change in response to predicted climatic changes. Survey data from 88% of peanut farmers in Queensland show a strong negative correlation between transformational capacity and both place attachment and occupational attachment, suggesting that whilst these factors may be important positive influences on the capacity to adapt to incremental change, they act as barriers to transformational change
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